CN103650555A - Data usage forecast of mobile network - Google Patents
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Abstract
Embodiments of the present disclosure set forth a method for forecasting data usage in a region covered by a cellular network. The method includes defining a first subregion surrounding a first point of interest in the region; and calculating a forecasted usage amount of the cellular network in the first subregion in a second time slot based on a first usage amount of the first subregion in a first time slot, a second usage amount of a second subregion geographically adjacent to the first subregion in the first time slot, a first probability associated with mobile devices in the first subregion migrating to the second subregion, and a second probability associated with mobile devices in the second subregion migrating to the first subregion.
Description
Technical field
Present invention relates in general to data and use prediction, more particularly, the data that relate to the mobile network in specific region are used prediction.
Background technology
It is important for bandwidth reserved that mobile network's data are used prediction.By specific forecasting mechanism, mobile network service provider can correspondingly distribute bandwidth.
Summary of the invention
Some embodiments of the present invention can relate generally to the method for predicting that the data in the region being covered by cellular network are used.An exemplary method can comprise the following steps: the first subregion that limits the first focus in enclosing region; And the second use amount of geographically the second subregion of contiguous the first subregion in the first use amount of the first subregion based in the first time slot, the first time slot, migrate to the first associated probability of the second subregion and migrate to the mobile device in the second subregion the prediction use amount that the second associated probability of the first subregion calculates the cellular network in the first subregion in the second time slot with the mobile device in the first subregion.
Other execution mode of the present invention can relate generally to computer-readable medium, and this computer-readable medium comprises the instruction for predicting that the data in the region being covered by cellular network are used.An example computer readable mediums can comprise such instruction, when carrying out described instruction by calculation element, makes described calculation element carry out following steps: the first subregion that limits the first focus in enclosing region; And the second use amount of geographically the second subregion of contiguous the first subregion in the first use amount of the first subregion based in the first time slot, the first time slot, migrate to the first associated probability of the second subregion and migrate to the mobile device in the second subregion the prediction use amount that the second associated probability of the first subregion calculates the cellular network in the first subregion in the second time slot with the mobile device in the first subregion.
Other execution mode of the present invention can relate generally to the calculation element that is configured to predict that the data in the region being covered by cellular network are used.An example calculations device can comprise processing unit.Described processing unit is configured to: the first subregion that limits the first focus in enclosing region; And the second use amount of geographically the second subregion of contiguous the first subregion in the first use amount of the first subregion based in the first time slot, the first time slot, migrate to the first associated probability of the second subregion and migrate to the mobile device in the second subregion the prediction use amount that the second associated probability of the first subregion calculates the cellular network in the first subregion in the second time slot with the mobile device in the first subregion.
Above summary of the invention is only exemplary and is not intended to limit by any way.Except above-mentioned illustrative aspects, execution mode and feature, by with reference to accompanying drawing and the following specifically describes, it is obvious that other aspect, execution mode and feature will become.
Accompanying drawing explanation
From following execution mode and claim by reference to the accompanying drawings, above and other feature of the present disclosure will become clearer.Should be appreciated that, these accompanying drawings have only been described, according to a plurality of execution modes of the present disclosure, therefore, to should not be construed as restriction the scope of the present disclosure, by using accompanying drawing, will be in addition concrete and describe the disclosure in detail.
Figure 1A shows the arrangement of the subregion limiting in region;
Figure 1B shows the arrangement of the secondary subregion (secondary subregion) limiting in subregion;
Fig. 2 is the flow chart of predicting the method for the data use in the region being covered by cellular network;
Fig. 3 has shown the block diagram of the computer program of the data use layout illustrating in the region being covered by cellular network for prediction; And
Fig. 4 has shown the block diagram of the calculation element of the data use layout illustrating in the region being covered by cellular network for prediction, all according at least some execution modes of the present disclosure, arranges.
Embodiment
In following detail specifications, with reference to the accompanying drawing that forms the part of this specification.In accompanying drawing, unless context point out in addition, otherwise similar similar parts of symbol ordinary representation.The exemplary execution mode of describing in detail specifications, accompanying drawing and claims is not intended to as restriction.Other execution mode can be adopted, and other change can be made in the situation that do not depart from the spirit or scope of the theme presenting here.To easily understand, the many aspects of the present disclosure shown in general description and accompanying drawing here can arrange, replace, combine and design according to various configuration, and all these are clearly susceptible to and become a part of this disclosure.
The disclosure is especially plotted as method, equipment, computer program and the system for predicting that the data in the region being covered by cellular network are used.
In the disclosure, " transition probability " broadly refers to that the mobile device that is arranged in the first place in the first time slot migrates to the probability in the second place at the second time slot (next time slot of the first time slot).The second place is contiguous the first place geographically.
In some embodiments, the region being covered by cellular network can have a plurality of main focus.Described region can be city.Main focus can be the place with the relatively highdensity mobile device of being supported by cellular network.Without limitation, main focus can comprise commercial center, house, factory, transportation depot, sight spot and school.
In some embodiments, can in region, limit a plurality of subregions.Subregion can comprise main focus.The mobile device that the border of subregion can be supported corresponding to cellular network is in the motion around of main focus.For example, the border of subregion can be main focus pedestrian traffic path around.
In some other execution modes, can in subregion, further limit a plurality of less secondary subregions.Secondary subregion can comprise the secondary focus that is geographically arranged in main focus.The density of the mobile device in subregion can be greater than the density of the mobile device in the secondary subregion limiting in described subregion.For example, when main focus is market, without limitation, secondary focus can comprise cinema, restaurant and shop.
In some embodiments, first limit subregion and secondary subregion, but they not all will be for further processing.Selection can be based on hierarchical approaches.For example, first select all subregions.If still there is enough computational resources, the secondary subregion of a particular sub-area will be selected.
In some embodiments, for the data of estimation range, use time quantum that required computational resource can be based on prediction scene, the subregion of selecting in the size of traffic matrix of the prediction total quantity of scene, the subregion of selection or secondary subregion and region and the total quantity of secondary subregion.The product that the time quantum of prediction scene can equal to predict the length of scene and predict the predict frequency in scene.For example, the data from the angle estimation range at working day and weekend are used.Suppose that predict frequency is per hour, the time quantum of predicting scene working day is 120, and predicts that the time quantum of scene is 48 weekend.
Traffic matrix has been described in special time unit the transition probability for particular sub-area.Element representation in traffic matrix is at the transition probability in special time unit between two sub regions, between a sub regions and a secondary subregion or between two secondary subregions.Can obtain element by any feasible technology of for example continuous sampling.The historical data that element can also be collected based on the past.The size subregion adjacent thereto of the traffic matrix of subregion or secondary subregion and the quantity of secondary subregion are associated.For example, for the subregion of the subregion with four vicinities of selecting and the secondary subregion of zero, the size of its traffic matrix is (4+1) X (4+1).
Can required computational resource be described by following formula:
Wherein, A
nbe the subregion of vicinity or the quantity of secondary subregion of the subregion of selection, N is the subregion of selection and the total quantity of secondary subregion, L
kbe the time quantum of prediction scene, K is the total quantity of prediction scene, and f is predict frequency.
In the above-described embodiment, be carried and enter the mobile device of selected subregion from the subregion of its four vicinities.Similarly, be carried the subregion that the mobile device that leaves selected subregion moves to its four vicinities.The data use amount of the selected subregion that in some embodiments, the data use amount of the selected subregion in the second time slot can be based in the first time slot (than the second time slot Zao time slot) is, the data use amount of the subregion of the vicinity of the selected subregion in the first time slot and the transition probability between selected subregion subregion adjacent thereto.Can this relation be shown by following formula:
Wherein,
be the data use amount of prediction of the subregion " 0 " of (t+1) time slot, M is the subregion in territory, adjacent subarea " 0 " or the quantity of secondary subregion,
the data use amount of the subregion " m " of t time slot,
the data use amount of the subregion " 0 " of t time slot,
from mobile device subregion " m ", to migrate to the transition probability of subregion " 0 ", and
that mobile device migrates to the transition probability of subregion " n " from subregion " 0 ".
In response to the data use amount of the prediction of the selected subregion in the second time slot, the base station in subregion or secondary subregion is configured to distribution network bandwidth.In some embodiments, by predicting which link will need overhead provision, the data of prediction are used and be can be used for optimizing downlink/uplink channel allocation.In some other execution modes, the data of prediction are used can contribute to channel allocation and the handover decisions between adjacent community.
Figure 1A shows according to the arrangement of the subregion limiting in region of execution modes more of the present disclosure.100Shi city, region.Region 100 comprises the first street 191, the second street 193,181He Second Street, First Street 183.In region 100, define nine sub regions 101,102,103 ... 109.Subregion 105 is the blocks that surrounded by the first street 191, the second street 193,181He Second Street, First Street 183.Subregion 105 can comprise market, and the third-largest door 131 on the first gate 133 that this market can be from the first street 191, the second gate 137 on the second street 193, First Street 181 and any in the fourth-largest door 135 on Second Street 183 enter or leave.
Figure 1B shows according to the arrangement of the secondary subregion limiting in subregion of execution modes more of the present disclosure.As mentioned above, subregion 105 comprises market.This market comprises shop 111, cinema 113 and restaurant 115.Gate 121,122,123,124,125 and 126 is the inlet/outlets in shop 111, cinema 113 or restaurant 115.
In some embodiments, when using based on the data in one day predictor region 105 per hour, the step of prediction can comprise for subregion 105 structure 24 traffic matrixs.Each traffic matrix represents according to order the transition probability in per hour.As mentioned above, arbitrary traffic matrix is (4+1) X (4+1) matrix.Arbitrary traffic matrix can represent the transition probability per hour between subregion 105 subregion 102,104,106 adjacent thereto and 108.Element in a matrix comprises transition probability and subregion 102,104,106,108 transition probabilities to subregion 105 from being close to from subregion 105 to its subregion 102,104,106,108 being close to.
The step of prediction for example also can comprise, based on above-mentioned required condition (the total time length of size, predict frequency and the prediction of the traffic matrix of the quantity of the subregion that, predict, the subregion that will predict) and checks that the data of computational resource in whether can predictor region 105 are used.
The step of prediction also can comprise the prediction use amount in the subregion 105 calculating in the second time slot.Prediction use amount can be calculated by following formula:
Q
105(2)=Q
102(1)P
102105+Q
106(1)P
106105+Q
108(1)P
108105+Q
104(1)P
104105-Q
105(1)P
105102-Q
105(1)P
105106-Q
105(1)P
105108-Q
105(1)P
105104。
Wherein, P
102105, P
106105, P
108105, P
104105, P
105102, P
105106, P
105108, P
105104that the first matrix from 24 matrixes obtains.Transition probability can be based on historical collection data.Q
x(1) (wherein x=102,104,105,106 and 108) is illustrated in the data use of the particular sub-area of the first time slot (it is the last time slot of the second time slot).Q
x(1) can fetch from base station.In response to the data access request of carrying out self-moving device in the particular sub-area in the first time slot, base station can send data to mobile device/receive data from mobile device, and relevant information is recorded in base station.
Fig. 2 is for predicting the flow chart of the illustrative embodiments of the method 200 that the data in the region being covered by cellular network are used.Method 200 can comprise one or more operation, function or the action shown in frame 201 and 203.Although described frame is shown according to order, these frames also can be carried out concurrently and/or according to the order different from these order described herein.In addition, each frame capable of being combinedly becomes less frame, is divided into other frame and/or the enforcement based on expectation is removed.Method 200 can start at frame 201 places.
At frame 201, described method 200 is included in the region being covered by cellular network and limits subregion.In some embodiments, subregion surrounds focus.Focus can be the place with the relatively highdensity mobile device of being supported by cellular network.The border of subregion can be corresponding to mobile device in focus motion around.Method 200 continues at frame 203 places.
At frame 203, method 200 comprises the prediction use amount of the cellular network in the subregion limiting at frame 201 calculating in the second time slot.The use amount of the subregion of the step of calculating in can the first time slot based on before the second time slot is, the second transition probability that the use amount in the geographically place of contiguous this subregion in the first time slot, the first transition probability that the mobile device in this subregion migrates to this place and the mobile device in this place migrate to this subregion.
Fig. 3 has shown the block diagram illustrating for the computer program of selecting preference data collection to arrange.Computer program 300 can comprise signal bearing medium 304, signal bearing medium 304 can comprise a group or more groups executable instruction 302, when described a group or more groups executable instruction 302 is carried out by the processor of for example calculation element, described a group or more groups executable instruction 302 can provide the function shown at least above-mentioned and Fig. 2.
In some implementations, signal bearing medium 304 can comprise that non-interim computer-readable medium 308(is such as, but not limited to, hard disk drive, CD (CD), digital universal disc (DVD), number tape, memory etc.).In some implementations, signal bearing medium 304 can comprise that computer-readable recording medium 310(is such as, but not limited to, memory, read/write (R/W) CD, R/W DVD etc.).In some implementations, signal bearing medium 304 can comprise that communication media 306(for example, such as, but not limited to, numeral and/or analog communication medium (, optical cable, waveguide, wire communication link, wireless communication link etc.)).Computer program 300 can also be recorded in non-interim computer-readable medium 308 or another kind of like on computer-readable recording medium 310.
Fig. 4 shows the block diagram of the illustrative embodiments of the calculation element of arranging for the data use of predicting in the region being covered by cellular network.In very basic configuration 401, calculation element 400 generally includes one or more processor 410 and system storage 420.Memory bus 430 can be for the treatment of the communication between device 410 and system storage 420.
According to the configuration of expectation, processor 410 can be to include but not limited to microprocessor (μ P), microcontroller (μ C), digital signal processor (DSP) or with any type of any combination of upper-part.Processor 410 can comprise one or more other buffer memory of level (for example, 1 grade buffer memory 411 and level 2 cache memory 412, processor core 413 and register 414).Example processor core 413 can comprise any combination of ALU (ALU), floating point unit (FPU), Digital Signal Processing core (DSP core) or above unit.Example memory controller 415 can also use together with processor 410, or in some implementations, Memory Controller 415 can be the internal part of processor 410.
According to the configuration of expectation, system storage 420 can be to include but not limited to volatile memory (for example, RAM), nonvolatile memory (for example, ROM, flash memory etc.) or with any type of any combination of upper-part.System storage 420 can comprise operating system 421, one or more application 422 and routine data 424.In some embodiments, application 422 can comprise being arranged as to carry out and described hereinly comprises that those the data of function of describing about the step 201 and 203 of the method 200 of Fig. 2 are used prediction algorithm 423.Routine data 424 can comprise cellular network traffic and the geodata 425 that can be used for operating data use prediction algorithm 423, as will be described further below.In some embodiments, without limitation, cellular network traffic and geodata 425 can comprise the geodata associated with the subregion limiting and/or secondary subregion and geographically between contiguous two sub regions, between a sub regions and a secondary subregion or the transition probability between two secondary subregions.In some embodiments, application 422 can be set in operating system 421, operate routine data 424, makes to select the realization of preference data collection to provide as described herein.The parts of this basic configuration 401 of describing in are by a dotted line illustrated in Fig. 4.
In some other execution modes, application 422 can comprise being arranged as to carry out and as herein describedly comprises that those the data of function of describing with reference to the step 201 and 203 of the method 200 of Fig. 2 are used prediction algorithm 423.
Calculation element 400 can have additional feature or function and additional interface, so that communicating by letter between basic configuration 401 and any required device and interface.For example, can use bus/interface controller 440 so that communicating by letter via memory device interface bus 441 between basic configuration 401 and one or more data storage device 450.Data storage device 450 can be removable storage device 451, non-removable storage device 452 or the combination of these two.For instance, the example of removable storage device and non-removable storage device comprises that disk set (for example, floppy disk and hard disk drive (HDD)), CD drive (for example, compact disk (CD) driver or digital universal disc (DVD) driver), solid state drive (SSD) and tape drive.Exemplary computer storage medium can comprise the volatibility that realizes according to for example, any method for storage information (, computer-readable instruction, data structure, program module or other data) or technology and non-volatile media, removable and non-removable medium.
System storage 420, removable storage device 451 and non-removable storage device 452 are examples of computer-readable storage medium.Computer-readable storage medium includes but not limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital universal disc (DVD) or other optical storage, cassette, tape, disk storage device or other magnetic storage device or the information that can hope for storage period and any other medium that can be accessed by calculation element 400.Any this computer-readable storage medium can be a part for calculation element 400.
Calculation element 400 can also comprise interface bus 442, and described interface bus 442 is for example convenient to via bus/interface controller 440, from various interface device (, output device 460, peripheral interface 470 and communication interface 480) communicating by letter to basic configuration 401.Example output device 460 can comprise Graphics Processing Unit 461 and audio treatment unit 462, and described Graphics Processing Unit 461 and described audio treatment unit 462 can be configured to communicate via one or more A/V port 463 and the various external device (ED)s such as display or loud speaker.Exemplary peripheral interface 470 comprises serial interface controller 471 or parallel interface controller 472, described serial interface controller 471 or described parallel interface controller 472 can be configured to via one or more I/O port 473 with such as input unit (for example, keyboard, mouse, pen, speech input device, touch input device etc.) external device (ED) or other peripheral unit (for example, printer, scanner etc.) communicate.Example communication device 480 comprises network controller 481, and described network controller 481 can be set to be convenient to communicate by network communication link and one or more other calculation element 490 via one or more communication port 482.In some embodiments, other calculation element 490 can comprise other application, and it can the result based on application 422 operate.
Network communication link can be an example of communication media.Communication media can other data (such as carrier wave or other transmission mechanism) in computer-readable instruction, data structure, program module or modulated data-signal carry out specific implementation conventionally, and can comprise any information transmission medium." modulated data-signal " can be such signal, that is, make its one or more characteristic arrange or change according to the mode that the information in this signal is encoded.For instance, and not restriction, communication media can comprise wire medium (for example, cable network or directly wired connection) and wireless medium (for example, acoustics, radio frequency (RF), microwave, infrared (IR) and other wireless medium).Term computer-readable medium used herein can comprise storage medium and communication media these two.
Calculation element 400 may be implemented as small portable (or mobile) electronic installation (such as, cell phone, personal digital assistant (PDA), personal media player apparatus, wireless network are watched device, individual Headphone device, special purpose device or are comprised the mixing arrangement of any above-mentioned functions) a part.Calculation element 400 can also be implemented as and comprise these two personal computer of laptop computer and non-laptop computer device.
The software realization of the many aspects of system and hardware are almost as broad as long between realizing; To use hardware or software be representative cost generally with respect to the design alternative of the balance of efficiency (but not always like this, because the selection between hardware and software can become important in specific environment).Existence can realize the various carriers (for example, hardware, software and/or firmware) of processing described herein and/or system and/or other technology, and preferred carrier will change along with adopting the environment of these processing and/or system and/or other technology.For example, if implementer determines speed and precision, be most important, implementer can mainly select hardware and/or firmware carrier; If flexibility is most important, implementer can mainly select software realization mode; Or, more alternatively, implementer can select some combinations of hardware, software and/or firmware.
By using block diagram, flow chart and/or example, the various execution modes that above detailed description has been set forth device and/or processed.In the scope that comprises one or more function and/or operation in such block diagram, flow chart and/or example, it will be appreciated by those skilled in the art that can by large-scale hardware, software, firmware or in fact its any combination realize individually and/or jointly each function and/or the operation in such block diagram, flow chart or example.In one embodiment, can be realized by application-specific integrated circuit (ASIC) (ASIC), field programmable gate array (FPGA), digital signal processor (DSP) or other integrated form a plurality of parts of theme described herein.Yet, those skilled in the art will recognize that, some aspects of execution mode disclosed herein (for example can be used as one or more computer program of moving on one or more computer, as one or more program of moving in one or more computer system), as one or more program of moving on one or more processor (for example, as one or more program of moving on one or more microprocessor), as firmware, or realize equivalently in integrated circuit fully or partly as their any combination in fact, and will recognize, according to the disclosure, design circuit and/or write within code belongs to those skilled in the art's technical ability completely for software or firmware.In addition, skilled person will appreciate that, the mechanism of theme described herein can be distributed for various forms of program products, and the application of the illustrative embodiments of theme described herein is irrelevant with the particular type for the actual signal bearing medium of issuing.The example of signal bearing medium includes but not limited to: such recordable-type media such as floppy disk, hard disk drive, CD (CD), digital versatile disc (DVD), digital magnetic tape, computer storage; And for example, such as numeral and/or the such transmission type media of analog communication medium (, optical cable, waveguide, wire communication link, wireless communication link etc.).
Those skilled in the art will recognize that, with mode tracing device described in this paper and/or processing and to use thereafter engineering practice that the device of describing like this and/or processing are integrated in data handling system be common in this area.That is to say, by the experiment of reasonable number of times, at least a portion device described herein and/or processing can be integrated in data handling system.Those skilled in the art will recognize that, typical data handling system generally comprises one or more in the following: system unit housing, video display devices, such as the memory of volatile memory and nonvolatile memory, such as the processor of microprocessor and digital signal processor, such as the computational entity of operating system, driver, graphic user interface and application program, for example, such as one or more interactive device of touch pad or screen and/or comprise feedback loop and control the motor (feedback of sense position and/or speed; The control motor of movement and/or adjusting parts and/or quantity) control system.Can utilize any applicable commercially available parts (such as those conventionally can in data, calculate/communicate by letter and/or network calculations/communication system in the parts that find) realize common data handling system.
Theme described herein is conventionally exemplified with being included in different parts in other different parts or that be connected from different other parts.It should be understood that described this framework is only exemplary, and in fact, can realize many other frameworks that obtained identical function.Conceptive, for obtaining any configuration of the parts of identical function, be all " association " effectively, make to obtain the function of expectation.Therefore, do not consider framework or intermediate member, any two parts that are combined to obtain specific function herein can be considered as is " to be associated " each other, and the function of expectation is implemented.Equally, any two parts that are so associated also can be regarded as each other " being operably connected " or " operationally coupling ", to realize the function of expectation, and any two parts that can be so associated also can be regarded as each other " operationally can couple ", to realize the function of expectation.The concrete example that operationally can couple include but not limited to physically can to mate and/or physically mutual parts and/or can be wirelessly alternately and/or wirelessly mutual parts and/or in logic mutual and/or parts that can be mutual in logic.
For the use of any plural number and/or singular references substantially in this article, those skilled in the art of the present technique can be converted into odd number and/or be converted into plural number to be suitable for context and/or application from odd number from plural number.For the sake of clarity, can set forth clearly at this displacement of various singular/plural.
Skilled person will appreciate that, in general, the word of using herein, particularly in claims (for example, the main body of claims) word of using in, being conventionally intended to is that (for example, word " comprises " and should be understood to " including but not limited to " " open " word, word " has " should be understood to " at least having ", word " comprise " and should be understood to " including but not limited to " etc.).Those skilled in the art will be further understood that, if the specific number in the claim of introducing record is intentional, such intention will be recorded in the claims clearly, and when there is no such record, not have such intention.For example, as auxiliary to what understand, below appended claim can comprise the use to the introducing term of " at least one " and " one or more ", to introduce claim record.Yet, even for example, when identical claim comprises the property introduced term " one or more " or " at least one " and such as the indefinite article of " " or " " (, " one " and/or " one " should be interpreted as representing " at least one " or " one or more ") time, use such term also should not be interpreted as claim that hint introduced by indefinite article " " or " one " and record and be restricted to by comprising any specific claim that this introduced claim records the invention that only comprises such record; For using for introducing the definite article that claim records, be also like this.In addition, even if recorded clearly the given number of the claim record of introducing, skilled person will appreciate that, such record also should be understood to (for example at least represent recorded number conventionally, in the situation that there is no other modification, at least two of the literalness record ordinary representations of " two records " are recorded or two or more are recorded).In addition, in the situation that use and " at least one in A, B and C etc. " similarly conventional statement, in general, this structure be intended to represent this routine statement that it will be appreciated by those skilled in the art that implication (for example, " there is at least one the system in A, B and C " by including but not limited to only there is the system of A, only there is the system of B, only have C system, have A and B system, have A and C system, there is the system of B and C and/or there is the system etc. of A, B and C).In the situation that use and " at least one in A, B or C etc. " similarly conventional statement, in general, this structure be intended to represent this routine statement that it will be appreciated by those skilled in the art that implication (for example, " there is at least one the system in A, B or C " by including but not limited to only there is the system of A, only there is the system of B, only have C system, have A and B system, have A and C system, there is the system of B and C and/or there is the system etc. of A, B and C).What those skilled in the art will be further understood that is, almost any adversative and/or the phrase of two or more substituting words are shown, no matter be in specification, claim or accompanying drawing, all should be understood to consider to comprise any or all word in word, word.For example, phrase " A or B " will be understood to comprise " A " or " B " or " A and B ".
Although disclose various aspects and execution mode herein, to those skilled in the art, other side and execution mode will be clearly.Various aspects disclosed herein and execution mode are used for illustrating but not are intended to restriction, and following claim is indicated real scope and spirit.
Claims (21)
1. for predicting a method for the data use in the region being covered by cellular network, the method comprises the following steps:
By one or more processor, limit the first subregion that surrounds the first focus in described region; And
The second use amount of geographically the second subregion of contiguous described the first subregion in the first use amount of described the first subregion by one or more processor based in the first time slot, described the first time slot, migrate to the first associated probability of described the second subregion and migrate to the second associated probability of described the first subregion with the mobile device in described the second subregion with the mobile device in described the first subregion, calculate the prediction use amount of the described cellular network in described the first subregion in the second time slot.
2. method according to claim 1, wherein, with respect to described the second time slot, described the first time slot is time slot early.
3. method according to claim 1, wherein, the border of described the first subregion approximately corresponding to mobile device in the motion around of described the first focus.
4. method according to claim 1, wherein, the first density of the mobile device associated with described the first focus is greater than first threshold.
5. method according to claim 4, the method is further comprising the steps of: in described the first subregion, limit the 3rd subregion, wherein, described the 3rd subregion surrounds the 3rd focus, and the 3rd focus has the triple density that is greater than the 3rd threshold value but is less than the mobile device of described first threshold.
6. method according to claim 5, the method is further comprising the steps of: the quantity of the subregion based on limiting in the preset frequency factor, predetermined time slot and described region determines whether to calculate the use of the described cellular network in described the 3rd subregion.
7. method according to claim 1, the method is further comprising the steps of: the described prediction use amount based on described cellular network is reserved the bandwidth of the described cellular network in described the first subregion in described the second time slot.
8. a computer-readable recording medium, this computer-readable recording medium coding is useful on the computer executable instructions of the data use of predicting in the region being covered by cellular network, when described computer executable instructions is carried out by calculation element, make described calculation element:
Limit the first subregion that surrounds the first focus in described region; And
The first use amount of described the first subregion based in the first time slot, geographically the second use amount of the second subregion of contiguous described the first subregion in described the first time slot, migrate to the first associated probability of described the second subregion and migrate to the mobile device in described the second subregion the prediction use amount that the second associated probability of described the first subregion calculates the described cellular network in described the first subregion in the second time slot with the mobile device in described the first subregion.
9. computer-readable recording medium according to claim 8, wherein, with respect to described the second time slot, described the first time slot is time slot early.
10. computer-readable recording medium according to claim 8, wherein, the border of described the first subregion approximately corresponding to mobile device in the motion around of described the first focus.
11. computer-readable recording mediums according to claim 8, wherein, the first density of the mobile device associated with described the first focus is greater than first threshold.
12. computer-readable recording mediums according to claim 11, this computer-readable recording medium also comprises other instruction, when described other instruction is carried out by described calculation element, make described calculation element: in described the first subregion, limit the 3rd subregion, wherein, described the 3rd subregion surrounds the 3rd focus, and the 3rd focus has the triple density that is greater than the 3rd threshold value but is less than the mobile device of described first threshold.
13. computer-readable recording mediums according to claim 12, this computer-readable recording medium also comprises other instruction, when described other instruction is carried out by described calculation element, make described calculation element: the quantity of the subregion based on limiting in the preset frequency factor, predetermined time slot and described region determines whether to calculate the use of the described cellular network in described the 3rd subregion.
14. computer-readable recording mediums according to claim 8, this computer-readable recording medium also comprises other instruction, when described other instruction is carried out by described calculation element, make described calculation element: the described prediction use amount based on described cellular network is reserved the bandwidth of the described cellular network in described the first subregion in described the second time slot.
15. 1 kinds of calculation elements, its data that are configured in the region that covered by cellular network of prediction are used, and this calculation element comprises:
Processing unit, wherein, this processing unit is configured to:
Limit the first subregion that surrounds the first focus in described region; And
The first use amount of described the first subregion based in the first time slot, geographically the second use amount of the second subregion of contiguous described the first subregion in described the first time slot, migrate to the first associated probability of described the second subregion and migrate to the mobile device in described the second subregion the prediction use amount that the second associated probability of described the first subregion calculates the described cellular network in described the first subregion in the second time slot with the mobile device in described the first subregion.
16. calculation elements according to claim 15, wherein, with respect to described the second time slot, described the first time slot is time slot early.
17. calculation elements according to claim 15, wherein, the approximately motion around described the first focus corresponding to mobile device of the border of described the first subregion.
18. calculation elements according to claim 15, wherein, the first density of the mobile device associated with described the first focus is greater than first threshold.
19. calculation elements according to claim 18, wherein, described processing unit is also configured to: in described the first subregion, limit the 3rd subregion, wherein, described the 3rd subregion surrounds the 3rd focus, and the 3rd focus has the triple density that is greater than the 3rd threshold value but is less than the mobile device of described first threshold.
20. calculation elements according to claim 19, wherein, described processing unit is also configured to: the quantity of the subregion based on limiting in the preset frequency factor, predetermined time slot and described region determines whether to calculate the use of the described cellular network in described the 3rd subregion.
21. calculation elements according to claim 15, wherein, described processing unit is also configured to: the described prediction use amount based on described cellular network is reserved the bandwidth of the described cellular network in described the first subregion in described the second time slot.
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| US20140201000A1 (en) * | 2013-01-14 | 2014-07-17 | Cisco Technology, Inc. | Real time mechanism for location based messaging using wireless networks |
| US20150227950A1 (en) * | 2014-02-13 | 2015-08-13 | Rentrak Corporation | Systems and methods for ascertaining network market subscription coverage |
| US9325654B2 (en) | 2014-02-28 | 2016-04-26 | Aol Inc. | Systems and methods for optimizing message notification timing based on electronic content consumption associated with a geographic location |
| US9584968B2 (en) | 2014-05-21 | 2017-02-28 | Aol Inc. | Systems and methods for deploying dynamic geo-fences based on content consumption levels in a geographic location |
| US11477602B2 (en) | 2014-06-10 | 2022-10-18 | Verizon Patent And Licensing Inc. | Systems and methods for optimizing and refining message notification timing |
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| CN1333984A (en) * | 1998-11-13 | 2002-01-30 | 艾利森电话股份有限公司 | Determining subscriber demands on communiations system |
| US7142868B1 (en) * | 2002-04-22 | 2006-11-28 | Sprint Spectrum L.P. | Method and system for predicting wireless communication system traffic |
| CN101360319A (en) * | 2007-07-30 | 2009-02-04 | 鼎桥通信技术有限公司 | Resource reservation method and apparatus based on traffic |
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| US6535742B1 (en) | 1999-06-29 | 2003-03-18 | Nortel Networks Limited | Method and apparatus for the self engineering of adaptive channel allocation |
| ITTO20010297A1 (en) | 2001-03-30 | 2002-09-30 | Telecom Italia Lab Spa | METHOD FOR ASSESSING THE CHARACTERISTICS OF A MOBILE TELECOMMUNICATION EQUIPMENT NETWORK. |
| FI116184B (en) * | 2003-03-17 | 2005-09-30 | Abb Oy | Procedure and arrangement for arranging traffic in a telecommunications system |
| DE102005022925B4 (en) * | 2005-05-13 | 2012-02-09 | T-Mobile International Ag & Co. Kg | Generation of a spatial traffic database in a radio network |
| US7813739B2 (en) | 2007-09-27 | 2010-10-12 | Koon Hoo Teo | Method for reducing inter-cell interference in wireless OFDMA networks |
| US20100015926A1 (en) * | 2008-07-18 | 2010-01-21 | Luff Robert A | System and methods to monitor and analyze events on wireless devices to predict wireless network resource usage |
| JP5169583B2 (en) * | 2008-07-29 | 2013-03-27 | 富士通株式会社 | Base station and resource securing method |
| JP5598464B2 (en) * | 2009-03-25 | 2014-10-01 | 日本電気株式会社 | BASE STATION, BASE STATION CONTROL METHOD, CONTROL PROGRAM, AND MOBILE STATION |
| JP2011091748A (en) * | 2009-10-26 | 2011-05-06 | Fujitsu Ltd | Power supply control method of base station and base station apparatus |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1333984A (en) * | 1998-11-13 | 2002-01-30 | 艾利森电话股份有限公司 | Determining subscriber demands on communiations system |
| US7142868B1 (en) * | 2002-04-22 | 2006-11-28 | Sprint Spectrum L.P. | Method and system for predicting wireless communication system traffic |
| CN101360319A (en) * | 2007-07-30 | 2009-02-04 | 鼎桥通信技术有限公司 | Resource reservation method and apparatus based on traffic |
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| EP2730114A4 (en) | 2014-11-19 |
| EP2730114A1 (en) | 2014-05-14 |
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| EP2730114B1 (en) | 2018-09-19 |
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